Globose Technology Solutions

Application of AI In Healthcare Significance of AI in Healthcare In India there is a dearth of qualified doctors available to patients.   In the Journal of Indian Health, Public Health(2017 edition) There are 4.8 doctors working per 10,000 people which is projected to increase by 6.9 per 10,000 people in the next decade. According to WORLD Health Organization, the The minimum ratio of doctor-patient is 1:1000. To address this issue of a disproportionate number of doctors per patient AI is the answer. This is the way AI aids the Indian Healthcare Industry to deal with numerous problems. TOP APPLICATIONS OF AI IN HEALTHCARE INDUSTRY 1.   Analyzing   Healthcare System- In many countries, 95-97 percent of health care bills are digital.AI can be utilized to detect the mistakes in the treatment process, inefficiencies in workflow or workflow inefficiencies.   AI can reduce time, cut expenses and increase precision. 2.Medical Records Management- Managing Medical Health Reco...

Facial Recognition Technology Quick Start Facial Recognition leverages technology to recognize a face of a person. It is software that assists to identify a person based on the facial features which are unique to the individual, either by comparing them to a database or making patterns. In the majority of cases facial recognition analyses the facial characteristics that are unique to the individual and then compares them to the database, and then determines the individual. Facial recognition is nothing new, in fact, it's been here since the 1960s, but it sparked conversations after the 2010s when Facebook started recognizing people in images. It was used to unlock our smartphones from the beginning and recently moved to more serious issues in law enforcement. Imagine what it could do as the technology progresses! But in order to develop a model that recognizes faces, a large amount of Image Data Collection  is required. In this article, we will know what facial recognition is, how ...

What exactly is Optical Character Recognition? What exactly is OCR? OCR is a method for recognizing and changing images of printed or handwritten texts into code computers are able to analyze - basically, OCR is the technology that lets computers read images of text. OCR is among the most popular methods for data capture. OCR systems are usually made up of hardware and software. The scanners, which are hardware-based, create images of text, while software transforms and processes the information, usually using AI  Dataset to read handwriting as well as special characters. What is the process behind OCR Function? To comprehend the way OCR is working, it's beneficial to think about the human ability to see the text. While reading, the eyes are able to detect patterns of light and dark. The eyes send messages that relay these patterns of dark and light into the brain. The brain then interprets the patterns and interprets them as text that has a significance. Although this feedback lo...

  Processing And Importance Of Images Datasets Introduction To design an effective model that fulfills its purpose, a precise Image Dataset is one of the most essential elements. Making or creating a great data set can be simple however it can lead to inconsistency or mixing data in a manner that it fails to effectively convey the information. The image data has to be presented in a particular way, to get the desired outcomes. In terms of creating image datasets They can be created either manually or automatically. To build a dataset of images manually, one can utilize numerous tools available, among the most well-known and easy ones is Google Images. However there are many options to create an image dataset automatically. The two methods are described, and now you have to decide the one that is most suitable for you and then develop revolutionary models. What is Image Datasets? Have you ever thought about what kind of technology instantly glows through the Snapchat filters? These...

OCR Data Collection For Machine Learning Model Training Glance Machine learning is now an increasingly popular term for students of technology because of its potential to revolutionize the world. Machine learning is a broad field of study that includes many fields and branches, and OCR is one of the areas that are associated with ML. OCR refers to Optical Character Recognition and businesses are able to manage digitizing and decoding scans of text. An OCR dataset can be used in the development of models that search, index and convert data to an easily-readable format. It uses a scanned document dataset to extract data in handwritten document, receipts and bills, receipts, tickets as well as street signs, passports medical labels, etc. What is OCR? The optical character recognition technology lets you transform scanned images into textual documents, from which you can extract information quickly. Additionally, digital data documents (e.gMicrosoft Word documents) already have digital da...

Process And Importance Of Image Datasets Introduction To create a model that successfully serves its purpose, an accurate Image Dataset is one of the most important factors. Processing or designing a good dataset can be easy, but mostly it leads to clumsiness or mixing of data in such a way that it does not convey the information properly. The image dataset is needed to be conveyed in a specific way so that we get the desired results. Talking about the process of building image datasets, they can be built manually and automatically. To create an image dataset manually, there are many tools, one of the most popular and simple ones is google images. On the other hand, there are numerous ways for automatic creation as well. Here, both the processes are explained, now your task is to choose the one that best suits you, and develop some game-changing models. What are Image Datasets? Have you ever wondered what technology looks like that instantly makes you glow through those Snapchat filte...

OCR Data Collection For Machine Learning Introduction Machine learning is becoming a common term among technology students due to its ability to transform the world. Machine learning has several branches, and fields, and OCR is one of such domains related to ML. OCR stands for Optical Character Recognition , businesses can easily deal with digitizing and deciphering scanned images of text. An OCR dataset can help to train a model that can search, index, and optimize data into a machine-readable format. It is using a scanned document dataset to extract information from handwritten documents, invoices, receipts, bills, travel tickets, passports, street signs, medical labels, etc. What Is OCR? Optical character recognition lets you convert scanned images into textual documents from which you can extract data easily. Moreover, digital data files (e.gMicrosoft Word documents) already contain digital data, photographed documents are just pixels that need to be converted to digital data befor...

How AI is affecting automotive industry? Introduction It is likely that you have heard of cars such as the General Motors Super Cruise and Mercedes-Benz Distronic Plus, Nissan ProPilot Assist and Tesla Autopilot being driverless. AI has become a major technology driver in today's tech-driven world. It has a direct impact on the way automakers design, select, and drive cars. According to industry experts the AI-infused global marketplace is projected to grow at a 39.4% CAGR between 2022-2030, according to industry experts. While self-driving cars driving around the streets might sound like science fiction at first, we now live in an age where artificial intelligence (AI), can make this dream a reality. It will be a great experience for drivers and provide an edge for the auto industry. Elon Musk predicted in 2017 autonomous driving would be possible within ten years. We are only four short years away from making this a reality. Think about Mercedes Benz, Tesla and Volvo as examples...

The role of AI The Role of AI Government Industry Introduction In the government, artificial intelligence (AI) is used in a range of uses. It is a great tool to further policy goals (in areas such as emergency services, healthcare, and welfare) and also aiding citizens to connect and interact with their authorities (through using virtual assistants for example).). The most popular instance of the government using AI can be seen in surveillance. The government employs Artificial Intelligence to check on traffic patterns, public spaces, and much more. However, there are plenty of uses cases that are relevant to the federal government. In this article, we'll find out what AI can assist the government, the various applications, and the challenges which can be faced making use of AI within the government-related industry. What can AI aid the government? There are numerous benefits that AI can bring to the public sector. The advantages AI in government industry include: Operational Effi...